Abstract: Existing multi-label learning algorithms mostly assume that all class labels in an obtained data set are completely accurate. This assumption is rarely valid. As the scale of the label space ...
†Institut de Sciences des Materiaux de Mulhouse, Universite de Haute-Alsace, CNRS - LRC 7228 15, rue Jean Starcky, 68057 Mulhouse Cedex, France ‡ Departement de Photochimie Generale, Universite de ...
Abstract: Being able to build a map of the environment and to simultaneously localize within this map is an essential skill for mobile robots navigating in unknown environments in absence of external ...
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